Identification in administrative databases of women dying of breast cancer.
PURPOSE: Palliative care is an essential component of cancer care, and population-based research is needed to monitor its impact. Administrative databases are the cornerstone of health services research. Their limitation is that cause of death is not sufficient to readily classify decedents as termi...
| Publicado en: | Journal of Clinical Oncology Vol. 24; no. 6; pp. 856 - 863 |
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| Autores principales: | , , , , |
| Formato: | research Journal Article |
| Publicado: |
American Society of Clinical Oncology
2/20/2006
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=106020315&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 106020315 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 0732183X 20D jtl: Journal of Clinical Oncology issn: 0732183X maglogo: N pubinfo: dt: 2/20/2006 vid: 24 iid: 6 pid: 26892 pub: American Society of Clinical Oncology place: Alexandria, Virginia artinfo: ui: 106020315 106020315 2009193926 NLM16484694 106020315 ppf: 856 ppct: 7 formats: tig: atl: Identification in administrative databases of women dying of breast cancer. aug: au: Gagnon B Mayo NE Laurin C Hanley JA McDonald N affil: Division of Stroke, Rehabilitation, Health Care Services, McGill University, Montréal, Quebéc, Canada. bruno.gagnon@clinepi.mcgill.ca sug: subj: Breast Neoplasms Therapy Palliative Care Adult Demography Aged Aged, 80 and Over Algorithms Canada Resource Databases Female Hospice Care Hospital Mortality Hospitals Medical Records Middle Age Predictive Value of Tests Reproducibility of Results Retrospective Design Sensitivity and Specificity Terminal Care Human Adult: 19-44 years Aged: 65+ years Aged, 80 & over Middle Aged: 45-64 years Female ab: PURPOSE: Palliative care is an essential component of cancer care, and population-based research is needed to monitor its impact. Administrative databases are the cornerstone of health services research. Their limitation is that cause of death is not sufficient to readily classify decedents as terminally ill for the study of the health services they received at the end of life. The study purpose is to develop and test the validity of an algorithm allowing the classification of the decedents as dying of breast cancer (BC), using administrative data. METHODS: Validation was carried out through a chart review of 119 BC decedents extracted from hospital-based databases. This algorithm was applied to 3,384 deceased women with BC representative of the whole population. The effect of the classification by the algorithm was illustrated by the shift in the distributions of age and place of death. RESULTS: The validation showed a sensitivity of 95%, a specificity of 89%, a positive predictive value of 98%, and negative predictive value of 77% for the classification of women dying of BC. Of the 3,384 decedents, 2,293 were classified as dying of, and 1,091 as not dying of BC. Women dying of BC were younger, died less often at home (6.9% v 17.9%), and in chronic care institutions (4.1% v 14.8%), and more often in acute-care beds (69.9% v 57.1%). CONCLUSION: This novel way to classify decedents is conceptually based and empirically validated through chart review and impact on distribution of age and place of death. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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